Modelling point mass balance for the glaciers of the Central European Alps using machine learning techniques
<p>Glacier mass balance is typically estimated using a range of in situ measurements, remote sensing measurements, and physical and temperature index modelling techniques. With improved data collection and access to large datasets, data-driven techniques have recently gained prominence in mode...
Main Authors: | R. Anilkumar, R. Bharti, D. Chutia, S. P. Aggarwal |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-07-01
|
Series: | The Cryosphere |
Online Access: | https://tc.copernicus.org/articles/17/2811/2023/tc-17-2811-2023.pdf |
Similar Items
-
Analysis of the mass balance time series of glaciers in the Italian Alps
by: L. Carturan, et al.
Published: (2016-03-01) -
Local- and Regional-Scale Forcing of Glacier Mass Balance Changes in the Swiss Alps
by: Saeideh Gharehchahi, et al.
Published: (2021-05-01) -
On the disequilibrium response and climate change vulnerability of the mass-balance glaciers in the Alps
by: Luca Carturan, et al.
Published: (2020-12-01) -
Monitoring of seasonal glacier mass balance over the European Alps using low-resolution optical satellite images
by: VANESSA DROLON, et al.
Published: (2016-10-01) -
Spatio-temporal reconstruction of winter glacier mass balance in the Alps, Scandinavia, Central Asia and western Canada (1981–2019) using climate reanalyses and machine learning
by: M. Guidicelli, et al.
Published: (2023-03-01)